Build Wireframes and Low-Fidelity Prototypes Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This beginner-friendly course guides you through transforming user research into tangible wireframes and low-fidelity prototypes using Figma. You’ll learn to ideate effectively, create storyboards, apply information architecture, and build both paper and digital prototypes with a strong awareness of design ethics and bias. The course is structured into three core modules and a final project, totaling approximately 14 hours of hands-on learning. With lifetime access, you’ll gain practical experience ideal for building a strong UX portfolio.
Module 1: Storyboarding & Wireframing
Estimated time: 3 hours
- Ideation with user research
- Writing goal statements
- Creating user flows
- Developing big-picture and close-up storyboards
- Introduction to wireframe concepts
Module 2: Paper & Digital Wireframes
Estimated time: 3 hours
- Fundamentals of information architecture
- Converting paper wireframes to digital
- Getting started with Figma
- Applying Gestalt principles: similarity, proximity, and common region
Module 3: Low-Fidelity Prototypes
Estimated time: 4 hours
- Principles of low-fidelity prototyping
- Building paper and digital prototypes in Figma
- Identifying bias in design
- Recognizing deceptive UX patterns
- Practicing equitable design methods
Module 4: Final Project
Estimated time: 4 hours
- Create a complete user flow with storyboards
- Design paper and digital wireframes in Figma
- Build an interactive low-fidelity prototype
Prerequisites
- Familiarity with basic UX research concepts
- Completion of introductory UX courses
- Basic understanding of user-centered design principles
What You'll Be Able to Do After
- Develop clear goal statements from user research
- Create compelling storyboards and user flows
- Design organized mobile app layouts using information architecture
- Build wireframes using both paper and Figma
- Prototype interactively at low fidelity while identifying bias and unethical patterns